Journal ArticleDOI
A supervisory fuzzy neural network control system for tracking periodic inputs
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TLDR
Simulation and experimental results show that the proposed control system is robust with regard to plant parameter variations and external load disturbance and the advantages of the proposedcontrol system are indicated in comparison with the sliding-mode control system.Abstract:
A supervisory fuzzy neural network (FNN) control system is designed to track periodic reference inputs in this study. The control system is composed of a permanent magnet (PM) synchronous servo motor drive with a supervisory FNN position controller. The supervisory FNN controller comprises a supervisory controller, which is designed to stabilize the system states around a defined bound region and an FNN sliding-mode controller, which combines the advantages of the sliding-mode control with robust characteristics and the FNN with online learning ability. The theoretical and stability analyses of the supervisory FNN controller are discussed in detail. Simulation and experimental results show that the proposed control system is robust with regard to plant parameter variations and external load disturbance. Moreover, the advantages of the proposed control system are indicated in comparison with the sliding-mode control system.read more
Citations
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Sliding-Mode Control With Soft Computing: A Survey
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TL;DR: The state of the art of recent developments in SMC systems with SC is provided, examining key technical research issues and future perspectives.
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Neural Network Control of a Flexible Robotic Manipulator Using the Lumped Spring-Mass Model
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Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive
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Machine Condition Prediction Based on Adaptive Neuro–Fuzzy and High-Order Particle Filtering
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Online adaptive fuzzy neural identification and control of a class of MIMO nonlinear systems
Yang Gao,Meng Joo Er +1 more
TL;DR: This paper presents a robust adaptive fuzzy neural controller suitable for identification and control of a class of uncertain multiple-input-multiple-output (MIMO) nonlinear systems.
References
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Fuzzy logic in control systems : fuzzy logic controller. Part II
TL;DR: The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy.
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Control of Electrical Drives
TL;DR: In this paper, the authors describe the motion of a drive with Lumped Inertia and two Axes Drive in Polar Coordinates, and the integration of the simplified Equation of Motion.